Bioinformatics Club - Alla Bulashevska Read more about Bioinformatics Club - Alla Bulashevska Alla Bulashevska: GenoMetric Query Language toolkit for large-scale genomic data management
Bioinformatics Club - Fidel Ramirez Read more about Bioinformatics Club - Fidel Ramirez Fidel Ramirez: Tools developed at the Max Planck for Immunobiology and Epigenetics for studying ChIP and Hi-C sequencing data
Bioinformatics Club - Lübbert, Schlosser Read more about Bioinformatics Club - Lübbert, Schlosser Prof. Lübbert, Pascal Schlosser: DECIDER: An AML (acute myeloid leukemia) trial with an epigenetic treatment - lessons learned and challenges to solve
Bioinformatics Club - Björn Grüning Read more about Bioinformatics Club - Björn Grüning Björn Grüning: Exome sequencing & Galaxy
Bioinformatics Club - Jörg Dengjel Read more about Bioinformatics Club - Jörg Dengjel Jörg Dengjel: Mass spectrometry-based proteomics
Bioinformatics Club - Stefanie Hieke Read more about Bioinformatics Club - Stefanie Hieke Stefanie Hieke: Statistical strategies for clinical cohort RNA-Seq data: component wise boosting vs. univariate testing
Bioinformatics Club - Anne-Sophie Stöhlker Read more about Bioinformatics Club - Anne-Sophie Stöhlker Anne-Sophie Stölker: Huang, Sherman and Lempicki (2009) "Bioinformatics enrichment tools: paths toward the comprehensive functional analysis of large gene lists."
Bioinformatics Club - Anna Köttgen Read more about Bioinformatics Club - Anna Köttgen Jochen Knaus (IMBI): short presentation of the new homepage of the club Anna Köttgen (IMBI): about the paper Personal Omics Profiling Reveals Dynamic Molecular and Medical Phenotypes by Chen et al.
Bioinformatics Club - Martin Treppner Read more about Bioinformatics Club - Martin Treppner Martin Treppner (IMBI): scVIDE - Single Cell Variational Inference for Designing Experiments.
Bioinformatics Club - Said el Bouhaddani Read more about Bioinformatics Club - Said el Bouhaddani Said el Bouhaddani (UMC Utrecht, NL): Statistical integration of multiple omics datasets with probabilistic PLS methods.